Full Time Assistant Vice President-Vice President, Full Stack Agentic AI Engineer Jobs, in Temasek - Maukerja

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$518 billion (US$401b, €350b, £304b, RMB2.77t) as at 31 March 2026. Our Purpose “So Every Generation Prospers” guides us to make a difference for today’s and future generations. We seek to build a resilient and forward-looking portfolio that will deliver good sustainable returns over the long term.    
 
We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia. 
 
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We are looking for an experienced AI engineer who builds solutions together with the people who use them. You will work directly with Temasek’s investment and operations teams: understanding how they work, shaping problems with them, prototyping in front of them, and taking what works all the way to production.

You will spend a significant share of your time with users, and the rest building and running the agentic AI systems behind those solutions. These are systems professionals depend on for real decisions. 

• Work alongside investment and operations teams to understand their workflows and decisions first-hand, and shape each problem with them before building. 
• Prototype quickly in front of users and iterate on their feedback, taking solutions from first prototype to reliable production.
• Design and build agentic AI systems end to end: agent orchestration, tool calling, retrieval (RAG), user interfaces, and integrations with enterprise and investment data systems.
• Build evaluation with users, turning domain experts’ judgement into evaluation sets, test cases, and guardrails.
• Run what you build in production, with strong observability, testing suited to non-deterministic systems, and safe failure with clear human escalation paths.
• Own adoption after launch: track usage, see where solutions fall short, and keep improving them.
• Turn repeatable patterns into reusable components, including new tools for Temasek’s MCP server ecosystem.
• Explain technical trade-offs (accuracy, latency, cost, limitations) in terms users can act on. 
  
  

• 7–10 years of engineering experience, including at least 3 years in AI/ML engineering, with hands-on delivery of LLM-powered products in production.
• A track record of building products directly with end users: running discovery, prototyping with them, and changing direction based on what you learn.
• Production-grade code across the stack: Python (e.g. FastAPI) and TypeScript (e.g. React, Next.js), with working knowledge of cloud deployment, containers, and CI/CD.
• Hands-on experience with agentic frameworks and SDKs such as LangGraph, the Claude Agent SDK, or the OpenAI Agents SDK, plus LLM evaluation and observability tooling. 
• Comfort working with senior, time-pressed professionals without a PM in the room, and the confidence to challenge a request when there is a better solution. 
• Curiosity about how investment and operations work, and a willingness to learn the domain deeply. 
• Clear communication with engineers and non-technical users alike. 
• Calm, sound judgement when the stakes are high.